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Correlation between Bacterial Cell Density and Abundance of Antibiotic Resistance on Milking Machine Surfaces Assessed by Cultivation and Direct qPCR Methods.
Weber, Mareike; Göpfert, Bettina; von Wezyk, Sina; Savin-Hoffmeyer, Michael; Lipski, André.
Afiliação
  • Weber M; Institute of Nutrition and Food Sciences, Department of Food Microbiology and Hygiene, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115, Bonn, Germany.
  • Göpfert B; Institute of Nutrition and Food Sciences, Department of Food Microbiology and Hygiene, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115, Bonn, Germany.
  • von Wezyk S; Institute of Nutrition and Food Sciences, Department of Food Microbiology and Hygiene, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115, Bonn, Germany.
  • Savin-Hoffmeyer M; Institute for Hygiene and Public Health, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
  • Lipski A; Institute of Nutrition and Food Sciences, Department of Food Microbiology and Hygiene, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115, Bonn, Germany. lipski@uni-bonn.de.
Microb Ecol ; 86(3): 1676-1685, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37166501
ABSTRACT
The relative abundance of antibiotic-resistant bacteria and antibiotic-resistance genes was surveyed for different parts of a milking machine. A cultivation approach based on swab samples showed a highly diverse microbiota, harboring resistances against cloxacillin, ampicillin, penicillin, and tetracycline. This approach demonstrated a substantial cloxacillin resistance of numerous taxa within milking machine microbiota coming along with regular use of cloxacillin for dry-off therapy of dairy cows. For the less abundant tetracycline-resistant bacteria we found a positive correlation between microbial cell density and relative abundance of tetracycline-resistant microorganisms (R2 = 0.73). This indicated an accelerated dispersion of resistant cells for sampling locations with high cell density. However, the direct quantification of the tetM gene from the swap samples by qPCR showed the reverse relation to bacterial density if normalized against the abundance of 16S rRNA genes (R2 = 0.88). The abundance of 16S rRNA genes was analyzed by qPCR combined with a propidium monoazide treatment, which eliminates 16S rRNA gene signals in negative controls.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / Antibacterianos Limite: Animals Idioma: En Revista: Microb Ecol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / Antibacterianos Limite: Animals Idioma: En Revista: Microb Ecol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha